Causal Learning Professors in Global

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Doris Lewalter-manhart
Technical University of Munich Germany
formal learning
motivation in learning
learning environments
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Lester Jones
Singapore Institute of Technology Singapore
student learning
reflective learning
self regulated learning
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Yonghan Jung
University of Illinois United States of America
causal inference
causal data science
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Ruohan Zhan
University College London United Kingdom
causal inference
statistical learning
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Peter Bühlmann
ETH Zurich Switzerland
causal inference
statistical learning
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Jonas Peters
ETH Zurich Switzerland
causal inference
statistical learning
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Maurits Kaptein
Eindhoven University of Technology Belgium
causal inference
statistical learning
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Riccardo Di Francesco
University of Southern Denmark Denmark
causal inference
statistical learning
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Thijs Van Ommen
Utrecht University Netherlands
causal inference
statistical learning
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Michael Schweinberger
Pennsylvania State University United States of America
causal inference
statistical learning
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Peter Spirtes
Carnegie Mellon University United States of America
causal inference
statistical learning
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Forrest Crawford
Yale University United States of America
causal inference
statistical learning
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Alison Gopnik
University of California, Berkeley United States of America
causal knowledge
learning
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Biwei Huang
University of California, San Diego United States of America
causal inference
automated causal discovery
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Mladen Kolar
University of Southern California United States of America
causal inference
statistical learning methods
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Nick Turk-browne
Yale University United States of America
statistical learning
learning
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Raaz Dwivedi
Cornell University Netherlands
causal inference
reinforcement learning
sequential decision-making
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Christina Lee Yu
Cornell University Netherlands
causal inference
sequential decision making
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Elliot Creager
University of Waterloo Canada
causal inference
representation learning
sequential decision making
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Audrey Durand
Laval University Canada
statistical learning
adaptive learning systems
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Calvin Tsay
Imperial College London United Kingdom
statistical learning
sequential decision making
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